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Compound effects of rainfall and storm tides on coastal flooding risk

机译:降雨和风暴潮对沿海洪灾风险的复合影响

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摘要

Rainfall and storm tides are both flood drivers in coastal zones. The complex interplay between them can lead to or exacerbate the impacts of flooding. While the dependence between rainfall and storm tides has been extensively studied, the compound effects of them on coastal flood risk have not been well researched. With Haikou city as the case study, this study investigates the bivariate return period of compounding rainfall and storm tide events based on copula functions and the failure probability is used to assess the variation of bivariate flood risk during the entire project lifetime. The results show that (1) there is a significant correlation between rainfall and storm tides. Therefore, bivariate RP analysis can provide more adequate and comprehensive information about risks than univariate RP analysis. Kendall RP can describe the bivariate RP more accurately since the dangerous region of Kendall RP is divided by the joint probability value. (2) Neglecting the compounding impacts and the dependence of rainfall and storm tides causes significant underestimation of the joint RP and failure probability. (3) The bivariate hydrologic risk value will decrease quickly when the design rainfall is higher than 100mm and it becomes small and decrease slowly when the design rainfall exceeds 450mm. Furthermore, the bivariate hydrologic risk value would not decrease until the storm tide is higher than 2m and the values would become quite small as the storm tide exceeds 4.5m. Such bivariate hydrologic risk analysis can provide decision support for hydraulic facility design as well as actual flood control and mitigation.
机译:降雨和风暴潮都是沿海地区的洪水驱动力。它们之间复杂的相互作用可能导致或加剧洪水的影响。虽然已经广泛研究了降雨和风暴潮之间的依赖性,但还没有很好地研究它们对沿海洪水风险的复合影响。以海口市为例,本研究基于copula函数研究降雨和风暴潮复合事件的二元回归期,并以失败概率评估整个项目生命周期内二元洪水风险的变化。结果表明:(1)降雨与风暴潮之间存在显着相关性。因此,与单变量RP分析相比,双变量RP分析可以提供有关风险的更充分和全面的信息。由于Kendall RP的危险区域除以联合概率值,因此Kendall RP可以更准确地描述双变量RP。 (2)忽略复合影响以及降雨和风暴潮的依赖性导致联合RP和破坏概率的严重低估。 (3)当设计雨量超过100mm时,二元水文风险值将迅速减小,而当设计雨量超过450mm时,二元水文风险值将减小并缓慢减小。此外,直到风暴潮高于2m时,双变量水文风险值才会降低,而当风暴潮超过4.5m时,该值将变得很小。这样的双变量水文风险分析可以为液压设施设计以及实际的防洪和减灾提供决策支持。

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    Tianjin Univ, State Key Lab Hydraul Engn Simulat & Safety, Tianjin, Peoples R China|Changjiang Inst Survey Planning Design & Res, Wuhan, Hubei, Peoples R China;

    Tianjin Univ, State Key Lab Hydraul Engn Simulat & Safety, Tianjin, Peoples R China|Tianjin Univ, Sch Civil Engn, Tianjin, Peoples R China;

    Tianjin Univ, State Key Lab Hydraul Engn Simulat & Safety, Tianjin, Peoples R China|Tianjin Univ, Sch Civil Engn, Tianjin, Peoples R China;

    Tianjin Univ, State Key Lab Hydraul Engn Simulat & Safety, Tianjin, Peoples R China|Tianjin Univ, Sch Civil Engn, Tianjin, Peoples R China;

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  • 正文语种 eng
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  • 关键词

    Oastal zone; Rainfall and storm tide; Kendall return period; Failure probability; Copula;

    机译:沿海地区;降雨和风暴潮;肯德尔回归期;失败概率;copula;

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